A diabetic retinopathy detection method using an improved pillar K-means algorithm



Susmitha valli Gogula1*, CH Divakar2, CH Satyanarayana3 & Allam Appa Rao4



1Department of IT, GITAM University, Patancheru, Medak Dist-502329, India; 2Pydah College of Engineering And Technology, Gambheeram, Anandapuram, Visakhapatnam-531163, India; 3Jawaharlal Nehru Technological University Kakinada, Kakinada, Andhra Pradesh-533003, India; 4C R Rao Advanced Institute Of Mathematics Statistics And Computer Science, University Of Hyderabad Campus, Gachibowli, Hyderabad-500046, India


Email; *Corresponding author


Article Type




Received December 22, 2013; Revised January 11, 2014; Accepted January 11, 2014; Published January 29, 2014



The paper presents a new approach for medical image segmentation. Exudates are a visible sign of diabetic retinopathy that is the major reason of vision loss in patients with diabetes. If the exudates extend into the macular area, blindness may occur. Automated detection of exudates will assist ophthalmologists in early diagnosis. This segmentation process includes a new mechanism for clustering the elements of high-resolution images in order to improve precision and reduce computation time. The system applies K-means clustering to the image segmentation after getting optimized by Pillar algorithm; pillars are constructed in such a way that they can withstand the pressure. Improved pillar algorithm can optimize the K-means clustering for image segmentation in aspects of precision and computation time. This evaluates the proposed approach for image segmentation by comparing with K-means and Fuzzy C-means in a medical image. Using this method, identification of dark spot in the retina becomes easier and the proposed algorithm is applied on diabetic retinal images of all stages to identify hard and soft exudates, where the existing pillar K-means is more appropriate for brain MRI images. This proposed system help the doctors to identify the problem in the early stage and can suggest a better drug for preventing further retinal damage.



Diabetic Retinopathy, K-Means, Fuzzy C-means, Pillar k-Means, Dark Spots, Hard exudates, Soft exudates.



Gogula  et al. Bioinformation 10(1): 028-032 (2014)

Edited by

P Kangueane






Biomedical Informatics



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